Dynamic measurements of geographical accessibility considering traffic congestion using open data : a cross-sectional assessment for haemodialysis services in Cali, Colombia
Cuervo, L.G. (Universitat Autònoma de Barcelona. Departament de Pediatria, Obstetrícia i Ginecologia i de Medicina Preventiva i Salut Pública)
Villamizar, Carmen Juliana (Johns Hopkins Bloomberg School of Public Health)
Osorio, Lyda (Universidad del Valle (Cali, Colòmbia))
Ospina, María Beatriz (Queen's University, Kingston, Canada)
Cuervo, Diana Elizabeth (National Disability Board of Colombia)
Cuervo, Daniel (IQuartil SAS, Bogotá, Colombia)
Bula, María O. (Bogotá, Colombia)
Zapata Murillo, Pablo (IQuartil SAS, Bogotá, Colombia)
Owens, Nancy J. (Fairfax, USA)
Hatcher Roberts, Janet (University of Ottawa, Ottawa, Canada)
Martín, Edith Alejandra (Colombian Association of Transplanted Athletes, Bogota, Colombia)
Piquero Villegas, Felipe (Patient Advocate and Author of an Autopathography, Bogotá, Colombia)
Pinilla, Luis Fernando (Universidad de La Sabana)
Martínez-Herrera, Eliana (Universidad de Antioquia)
Jaramillo, Ciro (Universidad del Valle (Cali, Colòmbia))

Fecha:	2024
Resumen:	Background: Many cities with traffic congestion lack accessibility assessments accounting for traffic congestion and equity considerations but have disaggregated georeferenced municipal-level open data on health services, populations, and travel times big data. We convened a multistakeholder intersectoral collaborative group that developed a digital, web-based platform integrating open and big data to derive dynamic spatial-temporal accessibility measurements (DSTAM) for haemodialysis services. We worked with stakeholders and data scientists and considered people's places of residence, service locations, and travel time to the service with the shortest travel time. Additionally, we predicted the impacts of strategically introducing haemodialysis services where they optimise accessibility. Methods: Cross-sectional analyses of DSTAM, accounting for traffic congestion, were conducted using a web-based platform. This platform integrated traffic analysis zones, public census and health services datasets, and Google Distance Matrix API travel-time data. Predictive and prescriptive analytics identified optimal locations for new haemodialysis services and estimated improvements. Primary outcomes included the percentage of residents within a 20-min car drive of a haemodialysis service during peak and free-flow traffic congestion. Secondary outcomes focused on optimal locations to maximise accessibility with new services and potential improvements. Findings were disaggregated by sociodemographic characteristics, providing an equity perspective. The study in Cali, Colombia, used geographic and disaggregated sociodemographic data from the adjusted 2018 Colombian census. Predicted travel times were obtained for two weeks in 2020. Findings: There were substantial traffic variations. Congestion reduced accessibility, especially among marginalised groups. For 6-12 July, free-flow and peak-traffic accessibility rates were 95. 2% and 45. 0%, respectively. For 23-29 November, free-flow and peak traffic accessibility rates were 89. 1% and 69. 7%. The locations where new services would optimise accessibility had slight variation and would notably enhance accessibility and health equity. Interpretation: Establishing haemodialysis services in targeted areas has significant potential benefits. By increasing accessibility, it would enhance urban health and equity.
Derechos:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Lengua:	Anglès
Documento:	Article ; recerca ; Versió publicada
Materia:	Accessibility indicators ; Dynamic accessibility assessments ; Health services accessibility ; People-centred focus ; Multistakeholder collaboration ; Hemodialysis ; Health services research ; Geographic accessibility ; Health services planning ; Urban planning innovation ; Intersectoral interactions ; Knowledge translation and dissemination ; Research for health
Publicado en:	The Lancet regional health. Americas, Vol. 34 (may 2024) , ISSN 2667-193X
Obra relacionada:	Cuervo, L.G coord.; Villamizar, Carmen Juliana; Osorio, Lyda; [et al.]. «Addendum to "Dynamic measurements of geographical accessibility considering traffic congestion using open data : a cross-sectional assessment for haemodialysis services in Cali, Colombia". The Lancet regional health. Americas, Vol. 34 (june 2024), art. 100797 https://doi.org/10.1016/j.lana.2024.100797

Correcció de l'article: https://ddd.uab.cat/record/300540
DOI: 10.1016/j.lana.2024.100752
PMID: 38737772

22 p, 5.2 MB

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